Books & Publications

Practical, concise guides on Machine Learning and Deep Learning. Code-first approach perfect for beginners and professionals.

Practical Introduction to Machine Learning

Practical Introduction to Machine Learning

Short, practical, code-first guide to core ML algorithms. Learn hands-on Python implementations, model evaluation, and optimization.

Pages
~160
Chapters
12
Read Interactive Version Purchase on Gumroad View on TensorRigs →
Practical Introduction to Deep Learning

Practical Introduction to Deep Learning

Build neural networks with PyTorch & TensorFlow. Learn CNNs, RNNs, Transformers, GANs, and modern architectures.

Pages
~200+
Chapters
14
Read Interactive Version Purchase on Gumroad View on TensorRigs →